Teaching Innovation of Courses in Universities Under the Empowerment of Big Data Mining Algorithms

With the continuous development of the computer field, the Internet has become the main educational mode in today’s era. This paper studies the innovation of ideological and political course models on university online platforms in the context of big data. The paper mainly compares the traditional teaching model and explores the formalized modeling method of online platform education. Then, it performs nonlinear predictive modeling of the online platform’s operating efficiency and traffic changes under the big data environment. It uses dynamic modeling to predict the learning effect of college students’ ideological and political courses. The results show that the regular teaching method under dynamic modeling can improve the shortcomings of traditional teaching and fully utilize the advantages of online platform education.